DEVELOPMENT OF GHOST WORKERS DETECTION SYSTEM USING ARTIFICIAL INTELLIGENCE BASED BIOMETRIC TECHNOLOGY

Subject Area: BIOMETRIC TECHNOLOGY

This paper presents the development of ghost worker detection system using artificial intelligence based biometric technology. The study began with literature review of related works which revealed the impact of ghost worker syndrome on the global economy in general. Also, it has affected the productivity of many local government headquarters and has remained a major challenge over the years. The study proposes to solve this problem using machine learning based biometric technology.This was achieved using Object oriented analysis and design methodology to develop. Other methods used were data collection, data acquisition, computer vision, fingerprint verification and results. The methods were designed using structural and mathematical approaches and then implemented with MATLAB. The result was tested and it was observed that the K-NN algorithm improving the fingerprint scanner was 88.26% accurate and 0.99 Area under curve performance which implied very good result. The algorithms were integrated and developed as a biometric ghost worker verification system for Oji River Local Government headquarters and the result showed that it was able to verify staff identities and check ghost workers.